Spring BootによるAPIバックエンド構築実践ガイド 第2版 何千人もの開発者が、InfoQのミニブック「Practical Guide to Building an API Back End with Spring Boot」から、Spring Bootを使ったREST API構築の基礎を学んだ。この本では、出版時に新しくリリースされたバージョンである Spring Boot 2 を使用している。しかし、Spring Boot3が最近リリースされ、重要な変...
I'm not feeling the async pressure written on Wednesday, January 1, 2020 Async is all the rage. Async Python, async Rust, go, node, .NET, pick your favorite ecosystem and it will have some async going. How good this async business works depends quite a lot on the ecosystem and the runtime of the language but overall it has some nice benefits. It makes one thing really simple: to await an operation
This week I was debugging a misbehaving Python program that makes significant use of Python’s asyncio. The program would eventually take very long periods of time to respond to network requests. My first suspicion was a CPU-heavy coroutine hogging the thread, preventing the socket coroutines from running, but an inspection with pdb showed this wasn’t the case. Instead, the program’s author had mad
50th and 99th percentile response times are in milliseconds, throughput is in requests per second. The table is ordered by P99, which I think is perhaps the most important real world statistic. Note that: The best performers are sync frameworks but Flask has lower throughput than others The worst performers are all async frameworks Async frameworks have far worse latency variation Uvloop-based opt
Async context propagation in various language ecosystems ofrobots@google.com, mattloring@google.com, Dec 30, 2015 Background Async context propagation is the problem of being able to connect an async task to the originating "context" that queued/requested the async task in the first place. This i...
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